Parallel genetic algorithms: a useful survey

T Harada, E Alba - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …

Empirical investigation: performance and power‐consumption based dual‐level model for exascale computing systems

MU Ashraf, FA Eassa, A Ahmad, A Algarni - IET Software, 2020 - Wiley Online Library
Exascale computing systems (ECS) are anticipated to perform at Exaflop speed (1018
operations per second) using power consumption< 20 MW. This ultrascale performance …

[PDF][PDF] A Predictive Analysis of Retail Sales Fore-casting using Machine Learning Techniques

M Sajawal, S Usman, HS Alshaikh… - … Research Journal of …, 2022 - researchgate.net
In a retail industry, sales forecasting is an important part related to supply chain
management and operations between the retailer and manufacturers. The abundant growth …

Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste

SV Churakov, F Claret, A Idiart, D Jacques… - Environmental Earth …, 2024 - Springer
This opinion paper describes the major coupled T (Thermal)-H (Hydro)-M (Mechanical)-C
(Chemical) processes in geological repository systems and the frontier of related model …

Agile framework to transform traditional team

A Alsari, R Qureshi, A Algarni - 2020 IEEE Frontiers in …, 2020 - ieeexplore.ieee.org
With the increasing computing power of processors, more complex web and mobile
applications are being developed by the developers. To meet the consistent high standard …

[PDF][PDF] Comparative analysis of machine learning techniques for predicting air pollution

F Akram, S Usman, MU Ashraf - Lah. Garri. Univ. Res. Jl. Comp. Sci. Info …, 2022 - core.ac.uk
The modern and motorized way of life has cultured air pollution. Air pollution has become
the biggest rival of robust living. This situation is becoming more lethal in develo** …

Performance and energy efficiency evaluation for HPC applications in heterogeneous architectures

V Klôh, D Yokoyama, A Yokoyama… - 2018 Symposium on …, 2018 - ieeexplore.ieee.org
This work aims to analyze the aspects related to the performance, without losing focus on
the energy efficiency of the applications. To this end, we evaluated a representative set of …

A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions

FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …

Challenges of using live process migration in distributed exascale systems

Z Sohrabi, EM Khaneghah - Azerbaijan Journal of High …, 2020 - dspace.asoiu.edu.az
Virtual machine-based process migrator mechanisms have the potential to be used in
distributed exascale systems due to their ability to execute process execution and support …

[PDF][PDF] A Machine Learning Based Approach for the Detection of DDoS Attacks on Internet of Things Using CICDDoS2019 Dataset-PortMap

H Sharif, S Usman, M Hasnain - Lahore Garrison University …, 2024 - researchgate.net
In today's technological era, the Internet has become ubiquitous, playing a vital role in our
daily lives. With the exponential growth of IoT innovation, millions of interconnected IoT …